MASTERCLASS

on STATISTICAL DATA ANALYTICS & DEEP LEARNING-V2

In the mountains during hot summer
1 โ€“ 5th June 2026 (Hybrid Mode)

About the Program


This program is intended for scholars and working professionals from any discipline who already have a basic familiarity with data analysis and deep learning. The first edition, held from June 23โ€“27, 2025, was conducted with great success. Building on that, this second edition offers an expanded and more inโ€‘depth set of topics.
The course is designed across various disciplines including Computer Science, Climate Science, Biology, Finance, Economics and others. It is open to students as well as professionals who wish to acquire advanced data analysis and data science tools for research and professional development.

Objective
  • 1. Introduce advanced data analysis across diverse disciplines.
  • 2. Equip participants with practical skills to enhance research capabilities.
  • 3. Promote interdisciplinary learning.
Key Speakers
  • ๐ŸŽ“ SMSS Faculty, IIT Mandi
Target Audience
  • ๐Ÿ“˜ Research Scholars (M.Sc./M.Tech/PhD)
  • ๐Ÿ‘” Working Professionals
  • ๐Ÿ’ป Data Enthusiasts

Schedule


๐Ÿ“˜ Module 1: Foundations for AI (Day 1)
  • Python for AI (NumPy, Pandas, TensorFlow/PyTorch)
  • Probability & Statistics (Basics)
  • Data Visualization & Preprocessing: Case Studies
  • Regression & Classification Fundamentals
  • Model Evaluation (ROC, RMSE, F1)
๐Ÿง  Module 2: Neural Networks & Core Architectures (Day 2)
  • Neural Network Fundamentals & Training
  • CNNs for Spatial Data
  • RNN, LSTM, GRU for Sequential Data
  • Image and Time-Series Applications
โš™๏ธ Module 3: Improving Deep Neural Networks (Day 3)
  • Optimization (Adam, Learning Rate Scheduling)
  • Regularization (Dropout, BatchNorm, L1/L2)
  • Hyperparameter Tuning
  • Transfer Learning & Fine-Tuning
  • Handling Overfitting & Small Datasets
๐Ÿ” Module 4: Attention & Transformers (Day 4)
  • Attention Mechanism
  • Seq2Seq & Encoderโ€“Decoder Models
  • Self-Attention & Transformers
  • BERT/GPT Overview
  • Vision & Time-Series Transformers
๐Ÿš€ Module 5: AI Models & Applications (Day 5)
  • Attention Based AI Models
  • End-to-End Pipeline
  • Case Study: Rainfall / Air Pollution / Temperature Prediction
  • Projects on Real-World Datasets
๐ŸŽฏ Bonus Module: Application & Case Study
  • Case Study: Predicting Rainfall / Air Pollution / Temperature

Registration & Fees


Category Charges
Offline/Online (For IIT Mandi) INR 2000/-
Online (Others) INR 4000/- / USD 100 (Foreign Nationals)
Offline (Outside Students) INR 8000/-
Offline (Working Professionals) INR 12000/-
Prices includes boarding and lodging only for external candidates.
Exciting Excursion is also included.
NOTE: Five days participation is necessary to get the certificate.
Register Now
Registration QR Code

Scan here to register

Payment QR Code

Scan here to make payment

    Deadline:
    Expression of interest: May 25, 2026
    Payment: May 29, 2026
    New Payment Deadline: June 1, 2026

Co-ordinators

Dr. Sarita Azad
Dr. Sarita Azad

SMSS, IIT Mandi, India

sarita@iitmandi.ac.in

Website
Dr. Rishikesh Yadav
Dr. Rishikesh Yadav

SMSS, IIT Mandi, India

rishikesh@iitmandi.ac.in

Website
General Contact

For all queries related to the Masterclass:

masterclass2025@iitmandi.ac.in